Your mission
As a Lead Data Engineer, your role is to help the improve and rebuild of the Financial Controlling Data Services. You work towards creating a unified and reliable source of data for all specialized services. You assist ETL Engineers in building reusable data products that follow CI/CD practices. You ensure the technical quality of all team deliverables and promote a culture of excellence.
Your main activities
- Analyze and document existing data flows and processes, identify issues, propose solutions, and implement or track them.
- Participate in defining the target solution based on common data products, advocating for a single source of truth.
- Convert business requirements into solutions and collaborate with data architects, modelers, developers, and analysts.
- Maintain and support the evolution of the current solution while developing the target solution.
- Guide development and review deliverables (flows, documentation, processes), ensuring they are reusable and meet high standards.
- Improve data CI/CD pipelines
- Ensure the quality of deliverables and maintain automated testing.
Your qualifications
Skills
- Degree in Computer Science, Management Information Systems, or Engineering (BAC + 5)
- Fluent in English and French
- Extensive experience with ETL tools, especially Oracle Data Integrator;
- Ability to read and update logical and physical data models
- Experience in Dev Ops, CI/CD, and Release Management
- Advanced SQL knowledge
- General knowledge of banking
- Experience with T24 data implementation/exploitation is a plus
Profile
- Strong listening and communication skills with both technical and non-technical people
- Eager to learn new technologies, functional areas, and methods, and develop new skills
- Team player who understands the challenges of other business areas
- Results-oriented and self-managed
- Enjoys sharing knowledge and supporting colleagues in their development
- Strong relational and persuasion skills
- Ability to organize, prioritize, and manage stress
IT competencies
- Oracle Data Integrator 12 (other ETL tools can be considered)
- Oracle, SQL & PL/SQL
- Unix & Shell Scripts
- Python
- GitLab, Jenkins, XL Deploy & XL Release
- Knowledge of operability and observability
